project 1533

Automated Facebook Ads Management System – VNF (Thanh Vinh Holdings)

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Are you spending hours monitoring and adjusting your Facebook ad budgets manually? Therefore, building an automated ads management system is the most effective solution. However, manual operations often lead to wasted budget and incorrect data analysis. Consequently, HILAB partnered with VNF to develop an automated campaign optimization platform.

1. Operational Challenges & Pain Points at VNF

Running large-scale ad campaigns across multiple Facebook accounts and international markets generated a massive manual workload for VNF. The lack of automated rules and delayed data syncs created high risks of wasted ad spend, campaign disruption, and difficulties in optimizing Return on Ad Spend (ROAS) in real time.

2. HILAB's Solution: Automated Facebook Ads Management

HILAB developed Automation Ads – a centralized campaign management platform that automates VNF's entire Facebook ad operations. The system processes real-time data and applies smart automated rules (Auto-rules) to replace manual adjustments.

Consequently, campaigns always run at peak efficiency. The system automatically pauses underperforming ads or adjusts budgets based on live performance metrics.

3. Implementation Details & Scope of Work

HILAB provided a complete, structured implementation process:

  1. Automation Workflow Design: Consulting on and designing automated advertising flows.
  2. Meta Ads API Integration: Building direct API connections for real-time account data sync.
  3. Smart Rules Engine Development: Setting up automated rules (Auto-rules) and instant alert triggers.
  4. Centralized Analytics Module: Developing comprehensive visual dashboards for performance tracking.
  5. Proof of Concept (POC) & Refinement: Launching a POC stage to validate feasibility and fine-tune rules.

As a result, VNF's marketing team gained full control over multi-account tracking and budget safety.

4. Technology Stack & Delivery Team

The technical architecture and resource allocation were structured as follows:

Layer Applied Technologies
Frontend NextJS
Backend NestJS
Database PostgreSQL
Integration Meta Ads API & Webhooks
Role Resources
Project Manager 1
Business Analyst 1
Backend Developer 1
Frontend Developer 1
QA Engineer 1

5. Real Results: Before vs. After Comparison

Here is the comparison of operational metrics before and after the project:

Operational Metric Before Implementation After HILAB Integration
Campaign Monitoring Media Buyers monitored accounts manually; high delay in detecting anomalies. Automated 24/7 monitoring and instant alert system for performance fluctuations.
Budget Optimization High ad spend waste on underperforming creatives due to slow manual checks. 30% ad spend savings by automatically pausing low-performing ad groups.
Data Synchronization Manual reporting delays led to campaign disruption and discrepancies. Real-time data sync via API/Webhook, ensuring continuous ad delivery.
Reporting & Analysis Disjointed reports made strategic optimization difficult. Unified visual dashboard, allowing management to make decisions based on accurate data.

Indeed, the system reduces manual operations for Media Buyers through smart automation workflows, ensuring consistent ad delivery.

Explore HILAB's Artificial Intelligence Services to discover how we can transform your marketing. In addition, our Markee AI platform can automate your entire campaign creation process. Contact HILAB today to receive a free consultation from our tech experts.


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